2026/05/14 by McKenzie J White, McKenzie J. White, Saranya Prathibha +12
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Breast Cancer Treatment Studies #Global Cancer Incidence and Screening #Statistical Methods and Bayesian Inference
paper · doi:10.1097/xcs.0000000000001866
openalex publication_date 2026/05/14 · openalex created_date 2026/05/15 · openalex updated_date 2026/07/23
BACKGROUND: Missing data are common in database research. Cancer patients with missing data are often excluded from database analyses. However, this practice may result in selection bias. We sought to clarify the presence of selection bias in such studies, with respect to the accreditation status of the treating facility (cancer center vs non-cancer center). STUDY DESIGN: We evaluated the 2018 to 2020 missing Surveillance, Epidemiology, and End Results data prevalence for patients with breast, pancreas, colon, or non-small cell lung cancer (NSCLC) patients by Commission on Cancer (CoC) accreditation of the treating center and 3-year overall survival (OS) by missing data and treatment center. RESULTS: We identified 328,030 patients. Across disease sites, patients were predominately treated at CoC centers (breast 82%, pancreas 83%, colon 75%, and NSCLC 80%), with missing data more prevalent from non-CoC centers than CoC centers (breast 23% vs 9%, pancreas 36% vs 14%, colon 30% vs 13%, and NSCLC 42% vs 13%). The odds of missing data were significantly higher at non-CoC centers than at CoC centers. Patients with missing data had significantly lower 3-year OS than those with known data (breast: 63% vs 81%, pancreas: 5% vs 12%, colon: 43% vs 61%, and NSCLC: 17% vs 27%; p < 0.001 for all). CONCLUSIONS: Disproportionately more missing data were observed from non-CoC centers than from CoC centers. Patients with missing data had lower OS than those with known data, with the lowest survival reported for patients missing data treated at non-CoC centers. Surveillance, Epidemiology, and End Results studies that exclude patients with missing data will predominantly exclude patients from non-CoC centers and may erroneously report superior outcomes by approximating registry-based, rather than population-based findings.